Build with OpenAI’s Whisper model in five minutes

This post details the process of packaging and deploying OpenAI's Whisper ASR model using Baseten's Truss library. It covers installing Truss, initializing a new Truss project, configuring dependencies (including a Git+HTTPS requirement for the Whisper repository and system packages like ffmpeg), and specifying GPU resource requirements. The core `predict` function is shown, along with `preprocess` and `postprocess` functions for handling audio input from a URL. The deployment process using `truss push` and prediction via `truss predict` is also demonstrated.